Publications by Stefan Kaalen
Peer reviewed
Articles
[1]
S. Kaalen, M. Nyberg and A. Westerberg, "Failure behavior modeling via atomic modeling concepts," Software and Systems Modeling, 2026.
Conference papers
[2]
S. Kaalen et al., "Probabilistic Approach Using SMP Tool For Systems Safety Of Road Vehicles," in Advances In Reliability, Safety And Security, Esrel 2024, Pt 3, 2024, pp. 87-96.
[3]
S. Kaalen et al., "A Stochastic Extension of Stateflow," in ICPE 22: Proceedings of the 2022 ACM/SPEC on International Conference on Performance Engineering, 2022, pp. 211-222.
[4]
S. Kaalen, M. Nyberg and O. Mattsson, "Transient Analysis of Hierarchical Semi-Markov Process Models with Tool Support in Stateflow," in Quantitative Evaluation Of Systems (QEST 2021), 2021, pp. 105-126.
[5]
S. Kaalen, M. Nyberg and O. Mattsson, "Using State Transition Diagrams for Safety Quantification within the Automotive Industry," in Cars 2021 6th International Workshop on critical Automotive Applications: Robustness & Safety, 2021.
[6]
S. Kaalen and M. Nyberg, "Branching Transitions for Semi-Markov Processes with Application to Safety-Critical Systems," in Model-Based Safety and Assessment, 2020, pp. 68-82.
[7]
S. Kaalen, M. Nyberg and C. Bondesson, "Tool-Supported Dependability Analysis of Semi-Markov Processes with Application to Autonomous Driving," in 2019 4th International Conference on System Reliability and Safety (ICSRS 2019), 2019, pp. 126-135.
Non-peer reviewed
Theses
[8]
S. Kaalen, "Quantitative Safety Analysis for Industry : A Model-Based Approach," Doctoral thesis : KTH Royal Institute of Technology, TRITA-ITM-AVL, 2026:14, 2026.
Reports
[9]
Other
[10]
S. Kaalen, M. Nyberg and A. Westerberg, "Computing Reliability of Safety-Critical Systems from Stochastic Stateflow Models," (Manuscript).
[11]
S. Kaalen, M. Nyberg and A. Westerberg, "Failure Behavior Modeling via Atomic Modeling Concepts," (Manuscript).
[12]
S. Kaalen et al., "Probabilistic Approach Using SMP Tool for Systems Safety of Road Vehicles," (Manuscript).
Latest sync with DiVA:
2026-06-14 02:03:30 UTC